Alternatives
Products that do what Neural Network 101 does
See a neural network learn, neuron by neuron.
- 1IB
2024 · graphgame.sabrina.dev
- 2AI
2023 · x0axz.com
- 3

- 4

- 5

Learn how AI trains neural networks—beginner friendly.
Jul 2026 · khayyamshah2007.blogspot.com
- 6

- 7AV
2016 · jalammar.github.io
- 8MA
I made this tool to get some better intuition on how neural networks/backpropagation worked, but I'm really unsure what to do with it now, so I've put it up on github, and I wrote a little primer on backprop and neural networks to showcase it. Really curious to hear any thoughts you might have, or anything I got wrong in the write up!
2024 · github.com
- 9
NeuroBlock▲120No-code AI Lab: Train models, access datasets, run inference
Feb 2026 · neuro-block.com
- 10IT
2019 · zecoda.com
- 11

- 12

- 13IM
I’m 15 and self-taught. I'm learning ML from scratch because I want to really understand how things work. I’m not into frameworks. I prefer math, logic, and C++. I implemented a basic MLP that supports different activation and loss functions. It was trained via mini-batch gradient descent. I wrote it from scratch, using no external libraries except Eigen (for linear algebra). I learned how a Neural Network learns (all the math) -- how the forward pass works, and how learning via backpropagation works. How to convert all that math into code. I’ll write a blog soon explaining how MLPs work in…
2025 · github.com
- 14NN
2020 · github.com
- 15

- 16

- 17WA
In browser PPO training demo, made possible by tinygrad: TinyJit -> WebGPU kernels. Requires WebGPU.
May 2026 · ppo.gradexp.xyz
- 18MA
I trained a transformer in HyperCard. 1,216 parameters. 1989 Macintosh. And yes, it took a while. MacMind is a complete transformer neural network, embeddings, positional encoding, self-attention, backpropagation, and gradient descent, implemented entirely in HyperTalk, the scripting language Apple shipped with HyperCard in 1987. Every line of code is readable inside HyperCard's script editor. Option-click any button and read the actual math. The task: learn the bit-reversal permutation, the opening step of the Fast Fourier Transform. The model has no formula to follow. It discovers the…
Apr 2026 · github.com
- 19

- 20

- 21

slowly inch your way to mastery: try, fail, learn, get good
Mar 2026 · neuralingo.academy
- 22

- 23IA
2018 · enlight.nyc
- 24

Ranked by how close each launch is in meaning, then by votes. Refine with a description →